File size: 3,540 Bytes
09ff47a 457c798 7c95bc3 457c798 09ff47a 457c798 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 |
---
dataset_info:
features:
- name: id
dtype: string
- name: poet
dtype: string
- name: title
dtype: string
- name: class
dtype: string
- name: text
dtype: string
- name: source_url
dtype: string
splits:
- name: train
num_bytes: 4114667
num_examples: 3642
- name: validation
num_bytes: 1349684
num_examples: 1214
- name: test
num_bytes: 1384384
num_examples: 1214
download_size: 31865790
dataset_size: 6848735
configs:
- config_name: default
data_files:
- split: train
path: train-*.parquet
- split: validation
path: validation-*.parquet
- split: test
path: test-*.parquet
---
# Bengali Poems Classification
This dataset contains Bengali poems with genre classification labels. The dataset includes 6,070 poems from 137 poets, categorized into 21 classes.
## Dataset Information
- **Number of poets**: 137
- **Total number of poems**: 6,070
- **Number of classes**: 21
- **Train/Validation/Test split**: 6:2:2 (stratified by class)
## Data Format
The dataset is stored in Parquet format with the following fields:
- `id`: Unique identifier
- `poet`: Poet name
- `title`: Poem title
- `class`: Poem class/genre (e.g., "ভক্তিমূলক", "প্রেম/ইরোটিক", etc.)
- `text`: Poem text content
- `source_url`: Source URL (if available)
## Poem Classes
The dataset includes 21 poem classes. Some of the main classes include:
- Love/Erotic (প্রেম/ইরোটিক)
- Reflective (চিন্তাশীল)
- Humanism (মানবতা)
- Sonnet (সনেট)
- Devotional (ভক্তিমূলক)
- Allegory (রূপক)
- Nature (প্রকৃতি)
- Rhymes (ছড়া)
- Patriotic (দেশপ্রেমমূলক)
- And more...
## Train/Validation/Test Split
The dataset is split into:
- **Training set**: 60% of the data
- **Validation set**: 20% of the data
- **Test set**: 20% of the data
The split is performed with stratified sampling based on poem classes to ensure balanced distribution across all splits.
## Citation
If you use this dataset, please cite:
```
@inproceedings{10.1145/3582768.3582788,
author = {Shuhan, Mirza Kamrul Bashar and Dey, Rupasree and Saha, Sourav and Anjum, Md Shafa Ul and Zaman, Tarannum Shaila},
title = {A Stylometric Dataset for Bengali Poems},
year = {2023},
isbn = {9781450397629},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3582768.3582788},
doi = {10.1145/3582768.3582788},
booktitle = {Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval},
pages = {176–180},
numpages = {5},
keywords = {Bengali Poems, Corpora, Datasets, Language Resources, Natural Language Processing, Stylometric Datasets},
location = {Bangkok, Thailand},
series = {NLPIR '22}
}
```
## Source
The original dataset can be found at: https://github.com/shuhanmirza/Bengali-Poem-Dataset
## Original Dataset Structure
The original dataset has a three-level directory structure:
- **Level 1**: Poet name (poet directory)
- **Level 2**: Poem title (poem directory)
- **Level 3**: Three text files:
- `CLASS.txt`: Poem class/genre
- `SOURCE.txt`: Source URL and timestamp
- `{title}.txt`: Poem text content
|